Showing 221 - 240 results of 53,535 for search '((unstructures OR unstructures) OR structural) data', query time: 0.30s Refine Results
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    An Improved Man-Made Structure Detection Method for Multi-aspect Polarimetric SAR Data by Fabin Dong, Qiang Yin, Wen Hong

    Published 2025-01-01
    “…The comprehensive multiaspect scattering characteristics are valuable for man-made structure detection and classification. Typically, the anisotropic scattering of targets could be characterized by the differences in the statistical properties of polarimetric data across aspects. …”
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    STUDY OF THE PECULIARITIES OF THE STRUCTURE OF THE NASOLACRIMAL DUCT ORIFICE ACCORDING TO THE DATA OF MULTISLICE COMPUTED TOMOGRAPHY by E. L. At’kova, V. D. Yartsev, N. N. Krakhovetskiy, L. V. Reznikova, A. O. Root

    Published 2018-05-01
    “…To develop a method for investigating the perculiarities of the structure of the nasolacrimal duct orifice according to the data of multislice computed tomography (MSCT).Material and methods. …”
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  6. 226

    A Robust Estimate Method for Damage Detection of Concrete Structures Using Contaminated Data by X. Peng, F. J. Qin, Q. W. Yang, H. Chen

    Published 2021-01-01
    “…It was found that the proposed method can successfully identify the location and extent of structural damage even if the used data have gross errors.…”
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    A comprehensive diagnostic framework for hepatitis C using structured data and predictive analytics by Behnaz Motamedi, Balázs Villányi

    Published 2025-12-01
    “…This study posits that a structured preprocessing and feature selection methodology might substantially improve the classification accuracy and generalizability of machine learning (ML) models in predicting stages of hepatitis C virus (HCV) using clinical and demographic data. …”
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    Discovering the Structure of Knowledge in Urban Data Mining Using Vocabulary Co-occurrence Analysis by Enayat Alah Mohaghegh Nasab, Mahmoud Mohamadi

    Published 2025-01-01
    “…But the most important finding of the current research, which was obtained based on clustering analysis and knowledge map analysis, shows that the field of urban data mining has five subfields or main structural components: 1-Analysis of urban systems and smart cities, 2- Modeling and data analysis framework, 3- identifying patterns and predicting them along with visualization techniques, 4- big data and social media, 5- urban big data and traffic network; Of these, urban big data analysis is more recent than other sub-structures, and research in this field is mostly related to the years 2022 and 2023.…”
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  13. 233

    Data-intelligence driven methods for durability, damage diagnosis and performance prediction of concrete structures by Fan Li, Daming Luo, Ditao Niu

    Published 2025-06-01
    “…Abstract A large number of in-service reinforced concrete structures are now entering the mid-to-late stages of their service life. …”
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    Structured Summarization of League of Legends Match Data Optimized for Large Language Model Input by Jooyoung Kim, Wonkyung Lee, Jungwoon Park

    Published 2025-06-01
    “…This paper introduces the League of Legends Match Data Compactor (LoL-MDC), a tool designed to transform extensive match data into a concise and structured format optimized for LLM processing. …”
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    Data-driven assessment of corrosion in reinforced concrete structures embedded in clay dominated soils by Shahbaz Ahmad, Siraj Ahmad, Sabih Akhtar, Faraz Ahmad, Mujib Ahmad Ansari

    Published 2025-07-01
    “…The study underscores the growing relevance of machine learning in simulating time-dependent deterioration processes in geotechnical and structural materials.…”
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    Combining satellite and field data reveals Congo's forest types structure, functioning and composition by Juliette Picard, Maïalicah M. Nungi‐Pambu Dembi, Nicolas Barbier, Guillaume Cornu, Pierre Couteron, Eric Forni, Gwili Gibbon, Felix Lim, Pierre Ploton, Robin Pouteau, Paul Tresson, Tom vanLoon, Gaëlle Viennois, Maxime Réjou‐Méchain

    Published 2025-04-01
    “…We also described vegetation type structure and composition (floristic, functional and associated fauna) by linking the map with data from large inventories and derived from satellite images. …”
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